DocumentCode :
3054784
Title :
Device signal strength self-calibration using histograms
Author :
Laoudias, Christos ; Piche, Robert ; Panayiotou, Christos G.
Author_Institution :
KIOS Res. Center for Intell. Syst. & Networks, Univ. of Cyprus, Nicosia, Cyprus
fYear :
2012
fDate :
13-15 Nov. 2012
Firstpage :
1
Lastpage :
8
Abstract :
Traditionally, positioning with WLAN Received Signal Strength (RSS) fingerprints involves the laborious task of collecting a radiomap with a reference mobile device. Best accuracy can be guaranteed only in case the user carries the same device, while positioning with different devices requires a calibration step to make the new devices´ RSS values compatible with the existing radiomap. We propose a novel device self-calibration method that uses histograms of RSS values. First, we use the existing radiomap to create the RSS histogram of the reference device. Subsequently, when the user enters a building and starts positioning, the observed RSS values are recorded simultaneously in the background to create and update the histogram of the user device. We use these RSS histograms to fit a linear mapping between the user and reference device. Our calibration method is running concurrently with positioning and does not require any user intervention. Experimental results with five smartphones in a real indoor environment indicate that soon after positioning is initiated the device is self-calibrated, thus improving the accuracy to be comparable with the case of using a radiomap created with the same device.
Keywords :
calibration; indoor radio; mobility management (mobile radio); smart phones; wireless LAN; RSS fingerprints; RSS histogram; RSS values; WLAN received signal strength fingerprints; calibration step; device signal strength self-calibration method; linear mapping; radiomap; real indoor environment; reference mobile device; smart phones; user device histogram; Accuracy; Calibration; Histograms; Manuals; Mobile handsets; Standards; Wireless LAN; Device calibration; Histograms; Positioning; Signal strength fingerprints; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Indoor Positioning and Indoor Navigation (IPIN), 2012 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4673-1955-3
Type :
conf
DOI :
10.1109/IPIN.2012.6418930
Filename :
6418930
Link To Document :
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